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Taxonomy learning is an important task for knowledge acquisition, sharing, and classification as well as application development and utilization in various domains. To reduce human effort to build a taxonomy from scratch and improve the quality of the learned taxonomy, we propose a new taxonomy learning approach, named TaxoFinder. TaxoFinder takes three steps to automatically build a taxonomy. First,...
Algorithms such as OPUS and Apriori-based Mapreduce for enhancing the efficiency of mining frequent item-set for pattern recognition application from transactional dataset have been proposed in the literature. Most of these algorithms are, however, evaluated offline on relatively small data size. When confronting with larger data size, which is inevitable for todays organisation, most if not all algorithms...
Clinical decision-support is gaining widespread attention as medical institutions and governing bodies turn towards utilising better information management for effective and efficient healthcare delivery and quality assured outcomes. Amass of data across all stages, from disease diagnosis to palliative care, is further indication of the opportunities and challenges created for effective data management,...
Managing mass gathering events is a complex process. A key factor in successful management of mass gatherings is the availability of real-time data about the situation. This data is very useful in making important decisions that can potentially be life saving. In this paper, we propose an ontology-based framework for real-time collection and visualization of on field mobile triage data. The proposed...
Peripheral vascular disease (PVD) can be associated with atherosclerosis and/ or peripheral neuropathy, which can be characterized by impairment of sensory, motor or autonomic nervous system. A noninvasive test to detect PVD is the ankle brachial pressure index (ABPI). Autonomic nervous system function can be determined by assessing heart rate variability from an ECG recording. No clear association...
To achieve timely response and treatment of life threatening injury or illness in mass gatherings, it is imperative to establish effective communication and coordination between emergency agencies and teams and provide them with ready access to real-time information. The service-oriented paradigm presents an elegant solution for developing a general and scalable architecture where emergency teams...
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